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首页> 外文会议>Personal Indoor and Mobile Radio Communications (PIMRC), 2011 IEEE 22nd International Symposium on >Usability of apple iPhones for inertial navigation systems
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Usability of apple iPhones for inertial navigation systems

机译：苹果iPhone在惯性导航系统中的可用性

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摘要

In recent decades, many indoor positioning techniques have been researched and some approaches have even been developed into consumer products. Most of them have been deployed into companies which benefit from indoor asset tracking. However, for public buildings like libraries or transportation systems, no direct benefit exists by installing expensive systems. Inertial navigation systems offer a form of positioning which is almost completely independent from external infrastructures, inexpensive and privacy friendly. As prices for sensors continuously drop, mobile terminals, such as cell phones or tablet PCs, are being equipped with various additional components, like GPS, cameras and light sensors, and moreover gyroscopes, compasses and accelerometers integration is also becoming commonplace. These last three components enable inertial navigation systems to calculate the position of the device. In this paper, we selected two devices, the iPhone 3GS and the iPhone 4, to analyze their sensors for usability of an inertial navigation system. For each device a common strapdown algorithm was implemented and varying standard filters applied to clean the output data stream of the sensors. Finally, we present the results, which are diverse according to the devices.
机译：在最近的几十年中，已经研究了许多室内定位技术，甚至一些方法已经发展成为消费产品。它们中的大多数已部署到受益于室内资产跟踪的公司中。但是，对于诸如图书馆或运输系统之类的公共建筑，通过安装昂贵的系统不会直接带来好处。惯性导航系统提供了一种定位形式，几乎完全独立于外部基础设施，价格低廉且对隐私友好。随着传感器价格的持续下降，手机或平板电脑等移动终端都配备了各种附加组件，例如GPS，照相机和光传感器，而且陀螺仪，指南针和加速度计的集成也变得司空见惯。最后三个组件使惯性导航系统能够计算设备的位置。在本文中，我们选择了两种设备iPhone 3GS和iPhone 4，以分析其传感器对惯性导航系统的可用性。对于每种设备，都采用了通用的捷联算法，并应用了各种标准过滤器来清洁传感器的输出数据流。最后，我们介绍结果，根据设备的不同而有所差异。

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